Optimal Sensor Data Harvesting Using A Mobile Sink

Nikhitha, S R; Panda, Manoj Kumar

doi:10.1016/j.procs.2018.10.343

Cited by 7 publications

(2 citation statements)

References 10 publications

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“…In [43] the authors provide a model depending on weight, wing area, air density and energy required for transmission for evaluating the energy consumption for a UAV. They compare the clustered and direct communication approaches and show the energy consumption is lower in the clustered design.…”

Section: Collaborative Operation In Uav–wsn Applicationsmentioning

confidence: 99%

A Survey of Collaborative UAV–WSN Systems for Efficient Monitoring

Popescu

Stoican

Stâmâtescu

et al. 2019

Sensors

110

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Integrated systems based on wireless sensor networks (WSNs) and unmanned aerial vehicles (UAVs) with electric propulsion are emerging as state-of-the-art solutions for large scale monitoring. Main advances stemming both from complex system architectures as well as powerful embedded computing and communication platforms, advanced sensing and networking protocols have been leveraged to prove the viability of this concept. The design of suitable algorithms for data processing, communication and control across previously disparate domains has thus currently become an intensive area of interdisciplinary research. The paper was focused on the collaborative aspects of UAV–WSN systems and the reference papers were analyzed from this point of view, on each functional module. The paper offers a timely review of recent advances in this area of critical interest with focus on a comparative perspective across multiple recent theoretical and applied contributions. A systematic approach is carried out in order to structure a unitary from conceptual design towards key implementation aspects. Focus areas are identified and discussed such as distributed data processing algorithms, hierarchical multi-protocol networking aspects and high level WSN–constrained UAV-control. Application references are highlighted in various domains such as environmental, agriculture, emergency situations and homeland security. Finally, a research agenda is outlined to advance the field towards tangible economic and social impact.

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Section: Collaborative Operation In Uav–wsn Applicationsmentioning

confidence: 99%

A Survey of Collaborative UAV–WSN Systems for Efficient Monitoring

Popescu

Stoican

Stâmâtescu

et al. 2019

Sensors

110

View full text Add to dashboard Cite

show abstract

“…As discussed in [15], further research is required on multi-collector approaches, particularly regarding cooperation among them. To the best of our knowledge, most related works in this area of research only consider data collection in a single moment, meaning that at some point a single UAV passes through every cluster to collect data once [60,61]. However, as discussed above, certain situations may require data to be collected for a period T, such as search-and-rescue missions or monitoring.…”

Section: Comparison Overviewmentioning

confidence: 99%

Evaluating flight coordination approaches of UAV squads for WSN data collection enhancing the internet range on WSN data collection

Souza

Endler

2020

J Internet Serv Appl

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Wireless sensor networks (WSNs) are an important means of collecting data in a variety of situations, such as the monitoring of large or hazardous areas. The retrieval of WSN data can yield better results through the use of unmanned aerial vehicles (UAVs), for example, concerning the increase in the amount of data collected and the decrease in the time between the collection and use of the data. In particular, disaster areas may be left without communication resources and with high residual risk to humans, at which point a WSN can be quickly launched by air to collect relevant data until other measures can be established. The set of rules of each problem's component (e.g., number of UAVs, UAVs dislocation control, sensors, communication) is considered the approaches to solve the problem. In this meaning, some studies present approaches for the use of UAVs for the collection of WSN data, focusing primarily on optimizing the path to be covered by a single UAV and relying on long-range communication that is always available; these studies do not explore the possibility of using several UAVs or the limitations on the range of communication. This work describes DADCA, a distributed scalable approach capable of coordinating groups of UAVs in WSN data collection with restricted communication range and without the use of optimization techniques. The results reveal that the amount of data collected by DADCA is similar or superior to path optimization approaches by up to 1%. In our proposed approach, the delay in receiving sensor messages is up to 46% shorter than in other approaches, and the required processing onboard UAVs can reach less than 75% of those using optimization-based algorithms. The results indicate that the DADCA can match and even surpass other presented approaches, since the path optimization is not a focus, while also incorporating the advantages of a distributed approach.

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Trajectory optimization for the UAV assisted data collection in wireless sensor networks

Saxena

Gupta

et al. 2022

Wireless Netw

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Optimal Sensor Data Harvesting Using A Mobile Sink

Cited by 7 publications

References 10 publications

A Survey of Collaborative UAV–WSN Systems for Efficient Monitoring

A Survey of Collaborative UAV–WSN Systems for Efficient Monitoring

Evaluating flight coordination approaches of UAV squads for WSN data collection enhancing the internet range on WSN data collection

Trajectory optimization for the UAV assisted data collection in wireless sensor networks

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